#open-source Manus
73 related articles
·2 min
500+ AI Research Tools: Automating the Entire Research Workflow
A curated open-source repo of 500+ active AI research tools covers the full workflow—literature review, code reproduction, paper writing, and LaTeX formatting—potentially saving 80% of research time.
Read more →
·3 min
Four Paths for Frontend Engineers to Level Up in AI: From RAG to Vertical Agents
How can frontend engineers transition into AI development? This guide covers four agent development directions: RAG, workflow agents, vertical agents, and general-purpose agents — with framework picks like LangChain.js.
Read more →
·4 min
China Moves to Tighten Exports of Top AI Models, Marking a Major Turning Point for Its Open-Source Strategy
Beijing is reportedly consulting with Alibaba, ByteDance, and Z.AI on tiered AI export controls that could affect open-weight models, while DeepSeek quietly builds its own inference chips.
Read more →
·2 min
Introduction to AI Agents: Core Concepts, Principles, and Real-World Examples
A deep dive into AI Agent concepts, working principles, and real products. Covers OpenAI Deep Research, Manus, Chensi, the perceive–decide–act loop, and core agent engineering logic.
Read more →
·2 min
Self-Hosted AI vs. Cloud Services? Microsoft CEO's Warning on Data Sovereignty
Microsoft CEO Satya Nadella warns enterprises are paying for AI twice: with money and with proprietary knowledge. A deep dive into cloud AI data risks and why self-hosting is becoming a strategic choice.
Read more →
·4 min
Six Layers of Defense: Engineering Reliable Structured Output from LLMs
LLM JSON output unstable in your Agent? This guide covers 6 engineering layers: constrained decoding, validation retry, fake tool calls, Logit Masking, Schema contracts, and anti-pattern locking.
Read more →
·4 min
LangChain in Practice: Mastering the Four Core Modules of the Agent Ecosystem
A deep dive into LangChain's four core modules: LangChain components, LangGraph orchestration, Deep Agents, and LangSmith. Build your first Agent from scratch.
Read more →
·3 min
Open-Source Writing App Hammer Seeks Translation Volunteers — No Coding Skills Required
Hammer is an MIT-licensed, local-first open-source story writing tool available cross-platform. Facing a localization manpower shortage, it seeks translation volunteers via Crowdin — no coding needed. Chinese localization remains a blank slate.
Read more →
·6 min
The Eight-Step Method for Agent Development: A Practical Path from Pitfalls to Production
Many enterprises fail at AI Agents due to choosing the wrong tools and lacking methodology. This article outlines an eight-step Agent development method—from cognitive foundations, scenario selection, hand-writing ReAct, and structured output to Tool Use, RAG, evaluation sets, and production fallback.
Read more →
·4 min
The Pain of AI Paper Peer Review: Why Should Models Released After the Deadline Count Against You?
A Reddit post exposes ARR review misconduct: a reviewer scored 1 for not comparing against a model released after the submission deadline. This article analyzes structural problems in AI academic peer review and proposes reform directions.
Read more →
·6 min
AI Agent Practical Guide: From Chatting to Directing — Building Fully Automated Workflows
AI use has three levels: Chat, Automation, and Agent. Learn how to use tools like Manus AI with a "director mindset" to build fully automated workflows — no technical background required.
Read more →
·3 min
GitHub Daily · July 6: The Agent Skill Ecosystem Explodes — AI Evolves from 'Capable' to 'Expert'
GitHub Trending July 6: Agent skill ecosystem explodes with taste-skill, marketingskills, dotnet/skills; multi-Agent orchestration matures; privacy-first projects thrive.
Read more →
·3 min
Light-Skills: Open-Source Research AI with 28 Skill Modules Covering the Full Workflow
Light-Skills is an MIT-licensed open-source research AI with 28 interconnected Skills, 9 knowledge bases, 317 knowledge cards, and 49 scripts covering the full research workflow — with a hard rule against fabricating citations or data.
Read more →
·2 min
No-Install Enterprise Agent: A New Approach to AI Workflow Automation and Core Capability Breakdown
A no-install AI Agent with hundreds of enterprise skills is emerging, enabling automatic multi-skill orchestration for complex workflows. Here's a deep breakdown of its three core advantages and key evaluation dimensions for enterprise adoption.
Read more →
·3 min
Building AI Agents from Scratch: LangGraph Architecture and Practical Guide
A deep dive into AI agent principles and development practices, covering agent definitions, leading products (Deep Research, ChengPian, Manus), and the complete LangGraph + LangChain + MCP architecture.
Read more →
·4 min
Nex-N2 Pro In-Depth Review: Impressive Code Generation, But How Inflated Are the Benchmarks?
In-depth review of open-source agent model Nex-N2 Pro: testing code generation, SVG output, and game dev capabilities while analyzing benchmark inflation, GPT distillation traces, and speed issues.
Read more →
·4 min
AI Agent in Practice: Building a Commercial-Grade Programming Agent from Scratch
A deep dive into AI Agent development, from the core principles of perception-decision-action to a Vue3 auto-creation demo, covering LangChain, LangGraph, MCP, and the full tech stack.
Read more →
·2 min
AI Agent Full-Stack Development: Architecture Principles and Production-Grade Project Implementation Guide
A comprehensive guide to AI Agent full-stack development covering LangChain, LangGraph, MCP protocol, and LLM deployment, with a hands-on Vue3 project demo showcasing the perception-decision-action loop.
Read more →
·4 min
The Real Logic of Getting Rich with AI: Toolbox Thinking and the Three-Layer Capability Model
Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.
Read more →
Product Reviews·3 min
Manus Hands-On Review: How Does This AI Agent Perform on the DeepSeek Tech Stack?
Hands-on review of Manus AI Agent on the DeepSeek tech stack, analyzing task execution, Chinese reasoning capabilities, strengths, limitations, and the potential of domestic LLMs in Agent applications.
Read more →